https://github.com/pybites-open-source/job-seeker

Python utility to download jobs at seek.com.au
https://github.com/pybites-open-source/job-seeker

hacktoberfest

Last synced: about 1 year ago
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Python utility to download jobs at seek.com.au

• Host: GitHub
• URL: https://github.com/pybites-open-source/job-seeker
• Owner: PyBites-Open-Source
• License: mit
• Created: 2021-10-01T13:45:25.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-05-15T09:45:52.000Z (about 4 years ago)
• Last Synced: 2025-03-22T15:12:10.330Z (about 1 year ago)
• Topics: hacktoberfest
• Language: Python
• Homepage:
• Size: 3.15 MB
• Stars: 10
• Watchers: 1
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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# Job Seeker

job_seeker is an utility to download data of a job search from seek.com.au into a csv file for data analysis and exploration

## Install using pip

```bash

pip install job-seeker

```

## Setting up to install from source

### download the package

```bash

git clone https://github.com/pedrojunqueira/job-seeker.git

```

### go to directory job-seeker on root path

```bash

cd job-seeker

```

## install from source

make sure you are on the root directory i.e. the directory where the setup.py file is located

then to install just do a `pip install .`

```bash

.

├── LICENSE

├── README.md

├── example

│   ├── job_seeker_usage.py

│   └── my_job_search.csv

├── job_seeker

│   ├── __init__.py

│   └── downloader.py

├── pyproject.toml

├── setup.py

└── tests

    ├── conftest.py

    ├── data

    │   └── response.json

    └── test_downloader.py

```

## Code example usage

```python

from job_seeker.downloader import JobSeeker

# set parameters

parameters = {

    "where" : "All Adelaide SA",

    "keywords" : "data analyst",

}

#instantiate the JobSeeker class

js = JobSeeker(params=parameters)

df = js.jobs_df

# df is a pandas.DataFrame object

# to print DataFrame head

print(df.head())

# to save as a csv in the current directory. See example on the ./example folder

df.to_csv("my_job_search.csv")

```

#### terminal output

```cmd

   page    job_id                         title  ...                       companyName                       company_advertiser

0     1  54150559                  Data Analyst  ...        Relationships Australia SA  Relationships Australia South Australia

1     1  54111544              Business Analyst  ...                    Robert Walters                           Robert Walters

2     1  54153618                  Data Analyst  ...                 Stoller Australia                        Stoller Australia

3     1  54150559                  Data Analyst  ...        Relationships Australia SA  Relationships Australia South Australia

4     1  54120381  Performance Insights Analyst  ...  Australian Institute of Business         Australian Institute of Business

```